class_docstr: Open a track to call the annotated function.
  Display `spec`, which is a string, where $0, $1, $2 stand in for the various arguments to the function.
  For example:
  
      @htrack("a=$1, b=$2"):
      def compute(self, a, b):
          ...
class_docstr_tok: ["Open","a","track","to","call","the","annotated","function",".","Display","`","spec","`",",","which","is","a","string",",","where","$","0",",","$","1",",","$","2","stand","in","for","the","various","arguments","to","the","function",".","For","example",":","@","htrack","(","``","a=","$","1",",","b=","$","2","''",")",":","def","compute","(","self",",","a",",","b",")",":","..."]
code: def __init__(self, spec: Optional[str]) -> None:
      self.spec: Optional[str] = spec
  
file_path: H2O/h2o_hf/helm/src/helm/common/hierarchical_logger.py
imports: import sys
  import time
  from typing import Any, Callable, List, Optional
label_desc: Use image node_id 1 to create a new htrack object  with example: obj = htrack(spec)